@article{725306,
      author = {Berk, Kevin,},
      url = {http://library.usi.edu/record/725306},
      title = {Modeling and forecasting electricity demand a risk  management perspective / [electronic resource] :},
      abstract = {The master thesis of Kevin Berk develops a stochastic  model for the electricity demand of small and medium-sized  companies that is flexible enough so that it can be used  for various business sectors. The model incorporates the  grid load as an exogenous factor and seasonalities on a  daily, weekly and yearly basis. It is demonstrated how the  model can be used e.g. for estimating the risk of retail  contracts. The uncertainty of electricity demand is an  important risk factor for customers as well as for  utilities and retailers. As a consequence, forecasting  electricity load and its risk is now an integral component  of the risk management for all market participants.  ℗ℓContents Electricity Market Energy Economy in  Enterprises Time Series Analysis A one Factor Model for  medium-term Load Forecasting Retail Contract Evaluation and  Pricing MATLAB Implementation ℗ℓTarget℗ℓ Groups  Researchers and students in energy economics or mathematics  and statistics with a focus on applications in energy  markets Professionals in electricity utilities, energy  vendors, risk management ℗ℓThe Author Kevin Berk is a  Ph.D. student at the Mathematics Department of the  University Siegen, Germany. His major research focus is  risk management and time series models with applications in  energy markets.},
      doi = {https://doi.org/10.1007/978-3-658-08669-5},
      recid = {725306},
      pages = {1 online resource (xvi, 115 pages) :},
}